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anibalrojosan/README.md

👋 Hi, I'm Aníbal Rojo

I'm a Bioprocess Engineer & MSc. in Biochemical Engineering transitioning into Full-stack Data Science 🦠🤖.

Learning journey

My main interests are:

  • 🚀 End-to-End ML: Bridging the gap between models and production via Full-stack engineering.
  • 📐 ML Foundations: Strengthening math skills and building classical algorithms from scratch.
  • 🏗️ Software Excellence: Implementing clean, scalable code for reproducible data science.
  • 🧠 Deep Learning: Mastering PyTorch for complex model development.

I'm currently expanding my full-stack toolkit to bridge the gap between data intelligence and user experience, transforming complex mathematical and ML models into intuitive, scalable applications:

  • Frontend for Data: Learning HTML, CSS, JS and React to transform static models into interactive data products.
  • Robust Backend: Deepening into FastAPI & Django to create scalable APIs that serve ML models efficiently.
  • Full-stack Integration: Understanding how to architect end-to-end systems where data flows seamlessly from databases to a polished user interface.

Some tools that I have been using and learning

Category
Technologies
Languages
Data Science & ML
Web Development (Fullstack)
Visualization
DevOps & Tooling uvRuff
Infrastructure

Pinned Loading

  1. ecommerce-shipping-delay-analysis ecommerce-shipping-delay-analysis Public

    Análisis end-to-end sobre el impacto de los tiempos de entrega en la satisfacción del cliente (ETL, EDA y Dashboard).

    Jupyter Notebook

  2. income-prediction-refactored income-prediction-refactored Public

    A modular and reproducible machine learning project to predict income, demonstrating software engineering best practices for data science

    Jupyter Notebook

  3. production-ready-mlops-workflow production-ready-mlops-workflow Public

    Production-ready MLOps infrastructure: demonstrating engineering best practices with reproducible pipelines, a robust API (Flask/Pydantic), Docker containers, and automated CI/CD with GitHub Actions.

    Jupyter Notebook 1

  4. hyperparameter-tuning-toolkit hyperparameter-tuning-toolkit Public

    A comprehensive educational project for comparing hyperparameter tuning techniques

    Jupyter Notebook

  5. proggy-wallet proggy-wallet Public

    A scalable Full-Stack Fintech blueprint evolving from prototype to enterprise architecture using Python, Django, Docker, and automated CI/CD pipelines.

    Python

  6. spotify-ml-analyzer spotify-ml-analyzer Public

    Full Stack Data Science app (Django + React) that decodes your musical DNA, analyzing Spotify audio features to visualize your mood and personality evolution.

    Python